| 基于广义Nakagami分布的医学超声图像去斑点噪声算法 |
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| 引用本文： | 侯建华,朱淑琴,陈少波.基于广义Nakagami分布的医学超声图像去斑点噪声算法[J].中南民族大学学报(自然科学版),2011,30(2):70-74. |
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| 作者姓名： | 侯建华 朱淑琴 陈少波 |
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| 作者单位： | 中南民族大学电子信息工程学院,武汉,430074 |
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| 基金项目： | 武汉市科技供需对接项目，中央高校基本科研业务费专项资金项目 |
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| 摘 要： | 通过对含斑图像作对数变换和冗余分解变换,实现了一种基于小波域局部统计特性的医学超声图像去噪算法.利用双边广义Nakagami分布和高斯分布分别对斑点噪声小波系数和信号小波系数建模,在贝叶斯最大后验概率估计(MAP)准则下推导出相应的萎缩法表达式,即GNDShrink.实验结果表明:该算法与经典的去斑点噪声算法相比,信噪比和相关系数都有明显的提高,并且能很好地保存图像的纹理.
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| 关 键 词： | 斑点噪声 双边广义Nakagami分布 高斯分布 模型参数 |
Speckle Reduction Algorithm Based on Two-Sided Generalized Nakagami Distribution for Medical Ultrasound Images |
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| Hou Jianhua,Zhu Shuqin,Chen Shaobo.Speckle Reduction Algorithm Based on Two-Sided Generalized Nakagami Distribution for Medical Ultrasound Images[J].Journal of South-Central Univ for,2011,30(2):70-74. |
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| Authors: | Hou Jianhua Zhu Shuqin Chen Shaobo |
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| Institution: | Hou Jianhua,Zhu Shuqin,Chen Shaobo(College of Electronics and Information Engineering,South-Central University for Nationlities,Wuhan 430074,China) |
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| Abstract: | By performing logarithmical transform and followed by redundant wavelet transform,a speckle reduction algorithm based on the local statistical property of wavelet coefficients is realized for medical ultrasound images.Specifically,the wavelet coefficients of speckle and signal are modeled by two-sided Generalized Nakagami Distribution(GND) and Gaussian distribution,respectively.Then the shrinkage estimator named as GNDShrink is deduced under the rule of Bayesian maximum a posteriori(MAP).The experimental re... |
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| Keywords: | speckle noise two-sided Generalized Nakagami Distribution Gaussian Distribution parameters of model |
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